Highlights from JupyterCon in New York 2018

O'Reilly on Data

Watch keynotes covering Jupyter's role in business, data science, higher education, open source, journalism, and other domains, from JupyterCon in New York 2018. Jupyter trends in 2018. Paco Nathan shares a few unexpected things that emerged in Jupyter in 2018. Watch " Jupyter trends in 2018.". Watch " Sea change: What happens when Jupyter becomes pervasive at a university? ". --> Continue reading Highlights from JupyterCon in New York 2018

Highlights from the Strata Data Conference in New York 2018

O'Reilly on Data

Watch " Black box: How AI will amplify the best and worst of humanity.". --> Continue reading Highlights from the Strata Data Conference in New York 2018 Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. People from across the data world are coming together in New York for the Strata Data Conference. Below you'll find links to highlights from the event. The future of data warehousing.


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British Airways settles with 2018 data breach victims


(Reuters) -British Airways has settled a case brought by customers and staff affected by a massive 2018 data breach that led to personal information being leaked, the court-appointed lead solicitors in the case said on Tuesday.

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A List Of Business Analysis Events For 2018

BA Learnings

If you’re ready for socializing and networking or just looking for professional development opportunities, here are some business analysis events to get you started in 2018. ProjectWorld*BusinessAnalystWorld holds this year from June 4-7, 2018 in Toronto and is reputed to be the largest series of conferences for project managers and business analysts in North America. Explore the event scheduled to hold in Santa Barbara, California from April 17 - April 19, 2018.

New Study: 2018 State of Embedded Analytics Report

2018 STATE OF. Analytics Trends and Tactics | 2018 LOGI ANALYTICS STATE OF EMBEDDED ANALYTICS REPORT TABLE OF. 1| 2018 LOGI ANALYTICS STATE OF EMBEDDED ANALYTICS REPORT FOREWORD Jen Underwood, Principal Consultant, Impact Analytix Analytics is everywhere. EMBEDDED. ANALYTICS.

Defining data science in 2018

Data Science and Beyond

This article is a short summary of my understanding of the definition of data science in 2018. I got my first data science job in 2012, the year Harvard Business Review announced data scientist to be the sexiest job of the 21st century. Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics.

Think 2018: Our favorite highlights from Tuesday

IBM Big Data Hub

The excitement, insights and innovation at Think 2018 is truly astounding. Today we heard from IBM Chairman, President and CEO, Ginni Rometty, plus industry leaders and clients who are transforming whole business sectors


Think 2018: Our favorite highlights from Monday

IBM Big Data Hub

Think 2018 is the biggest IBM conference of the year covering all things tech. And, to be sure you don't miss a moment, here are highlights from Monday, March 19, the first day of the event


Think 2018: Our favorite highlights from Wednesday

IBM Big Data Hub

Think 2018 is in full swing. We’re inspired hearing from leaders across industries using analytics to transform their business. And we’re thrilled to take part in conversations about data science, machine learning, AI and much more. Here are some highlights from Wednesday at Think

Will Speak at MuleSoft Connect 2018

Perficient Data & Analytics

www.connect.mulesoft.com/2018. News MuleSoft Connect 2018I’m speaking at MuleSoft CONNECT, May 9 – 10 in San Jose, CA. Join me at the premier conference for digital business, where CIOs, IT leaders and developers come together to exchange ideas and pragmatic insights on driving business transformation! I have two speaking sessions which are currently scheduled to be on Tuesday, May 8 at 3:15 PM – 4:00 PM and 4:15 PM – 5:00 PM.

Deep automation in machine learning

O'Reilly on Data

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure.

5 Early Indicators Your Embedded Analytics Will Fail

2018 State of Embedded Analytics Report, nearly 50. According to the 2018 State of Embedded Analytics Report, nearly 50. 2018 State of Embedded Analytics Report. the 2018 State of Embedded Analytics Report. Updating your application’s dashboards and reporting features.

Join Our Sessions at MuleSoft CONNECT 2018

Perficient Data & Analytics

Today kicks off MuleSoft CONNECT 2018 – a conference that is centered on helping attendees learn to design, build, and manage integrations and APIs like experts. Perficient is proud to be a sponsor at this year’s MuleSoft CONNECT 2018. Integration & IT Modernization News api API implementation API Strategy APIM mulesoft MuleSoft Connect 2018 OAuth2 Rest API SOA

Top 12 BI tools of 2019


With more and more data at our fingertips, it’s getting harder to focus on the information relevant to our problems and present it in an actionable way. That’s what business intelligence is all about. To read this article in full, please click here (Insider Story

Building tools for enterprise data science

O'Reilly on Data

The O’Reilly Data Show Podcast: Vitaly Gordon on the rise of automation tools in data science. In this episode of the Data Show , I spoke with Vitaly Gordon , VP of data science and engineering at Salesforce. As the use of machine learning becomes more widespread, we need tools that will allow data scientists to scale so they can tackle many more problems and help many more people.

Informatica World 2018 Takeaways for Intelligent Disruption

Perficient Data & Analytics

Another successful Informatica World 2018 concluded in Las Vegas last week. Data & Analytics Informatica News Big Data cloud cloud services data management Data Platform digital transformation INFA18 Informatica World 2018 Intelligent Data PlatformThe conference provided many insights into how Informatica is playing a role in intelligent disruption with over 1,200 sessions and 112 customer and partner speakers. Below are my four takeaways from the conference this year.

Discovering best practices for IoT at Think 2018

IBM Big Data Hub

Think 2018 in Las Vegas was a record breaking event, where tens of thousands of attendees gathered to talk with one another and share their experiences. Visionary speakers and experts shared their solutions for some of the world’s most daunting challenges

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Managing risk in machine learning

O'Reilly on Data

Considerations for a world where ML models are becoming mission critical. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Let’s begin by looking at the state of adoption.

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What's in store for a CDO at Think 2018

IBM Big Data Hub

When you wake up, the last thing you want to ask yourself is, “What did my data do last night?” CDOs who find themselves asking that question can put a stop to it on March 19. IBM is bringing experts and leaders across data governance and integration to the annual Think conference

Guide: Complying with the California Consumer Privacy Act of 2018

Perficient Data & Analytics

We recently published a guide examining the California Consumer Privacy Act of 2018, and the steps any financial institution must take in its response to the new law to evaluate its exposure and current state of readiness. Data & Analytics Financial Services Integration & IT Modernization Organizational Change Management Regulatory Compliance California California Consumer Privacy Act of 2018 California privacy CCPA data aggregator digital privacy law

How social science research can inform the design of AI systems

O'Reilly on Data

The O’Reilly Data Show Podcast: Jacob Ward on the interplay between psychology, decision-making, and AI systems. In this episode of the Data Show , I spoke with Jacob Ward , a Berggruen Fellow at Stanford University. Ward has an extensive background in journalism, mainly covering topics in science and technology, at National Geographic , Al Jazeera, Discovery Channel, BBC, Popular Science , and many other outlets.

Today at Think 2018: What you can’t miss Thursday

IBM Big Data Hub

Hard to believe, but we’ve arrived at the final day of Think 2018. It’s been thrilling to be part of the energy flowing through the Cloud & Data Campus. We’ve seen an unprecedented level of engagement around analytics and the future of data-driven decision-making. But we’re not done yet. Here are our top picks for analytics pros today

Strata Data San Jose March 2018 Musings

Sanjeev Mohan

Ladies and Gentlemen, we have a new buzz word for 2018: Operationalization ! The post Strata Data San Jose March 2018 Musings appeared first on Sanjeev Mohan I attended this year’s edition of Strata Data show last week in San Jose. Last year when I attended the show, it was still called Strata Hadoop. Interestingly, if last year many companies were trying to distance themselves from Hadoop, this year I witnessed outright hostility towards it.

Trends in data, machine learning, and AI

O'Reilly on Data

The O’Reilly Data Show Podcast: Ben Lorica looks ahead at what we can expect in 2019 in the big data landscape. For the end-of-year holiday episode of the Data Show , I turned the tables on Data Show host Ben Lorica to talk about trends in big data, machine learning, and AI, and what to look for in 2019. Lorica also showcased some highlights from our upcoming Strata Data and Artificial Intelligence conferences. Continue reading Trends in data, machine learning, and AI

Industry Pulse September 2018 Highlights

Jen Underwood

by Jen Underwood. Long time, no news summaries…what happened? I’ll share the scoop on that soon. In the meantime, Cloudera and Hortonworks announced a merger that was really “big” news yesterday. That merger. Read More. Tableau Big Data & IoT Industry Perspective Predictive Analytics Spotfire BI & Analytics Artificial Intelligence

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Perficient’s Guide to Denver Startup Week 2018

Perficient Data & Analytics

Cloud Consumer Markets Customer Experience Data & Analytics Digital Experience Digital Transformation High Tech Integration & IT Modernization Life at Perficient Management Consulting Mobile Operations Organizational Change Management denver job fair denver startup denver startup week Denver Startup Week 2018 Denver Startup Week job fair downtown denver Guide job fairDenver Startup Week is a continuous celebration of everything entrepreneurial and innovative in Denver.

Consolidation around Cognos 11.1 and other news from IBM Analytics University

David Menninger's Analyst Perspectives

For the full breakdown of IBM's Analytics University 2018, and my analysis of all the largest announcements, watch my latest hot take. IBM's Analytics University (held in both Miami and Stockholm) brought about some large changes. Big announcements this year included a consolidation of IBM's Watson Analytics into Cognos 11.1, helping provide some clarity to their analytics offerings, along with new visualizations and better data preparation.

Today at Think 2018: What you can’t miss Monday

IBM Big Data Hub

We’re live at Think 2018. If you’re joining us in Las Vegas, welcome to the biggest IBM event of the year. You’re about to experience a whirlwind of analytics keynotes, panels, demos, and more

Using machine learning to improve dialog flow in conversational applications

O'Reilly on Data

The O’Reilly Data Show Podcast: Alan Nichol on building a suite of open source tools for chatbot developers. In this episode of the Data Show , I spoke with Alan Nichol , co-founder and CTO of Rasa , a startup that builds open source tools to help developers and product teams build conversational applications.

What's in store for a data scientist at Think 2018

IBM Big Data Hub

Getting the most from a data science agenda requires more than data scientists. At Think, you’ll learn to view data science as a team sport, involving multiple roles and appropriate tools that help organizations tap into the benefits data science can bring wherever the business opportunity is

The role of academia in data science education

Simply Statistics

I was recently asked to moderate an academic panel on the role of universities in training the data science workforce. I preceded each question with opinionated introductions which I have fused into this blog post. These are weakly held opinions so please consider commenting if you disagree with anything. To discuss data science education we first need to clearly state what it means.

The Best Fails of 2018

Bruno Aziza

What an incredible year. I’m no financial expert. But as a market observer, I have noted a fair amount of #fails this year. Here are at least 3 that I thought would be worth recapping. I’m sure I’ve missed a few. Feel free to tweet me at @brunoaziza for comments and suggestions

News and Announcements from Tableau and TC18

David Menninger's Analyst Perspectives

For the full breakdown of Tableau User Conference 2018, and my analysis of all the largest announcements, watch my hot take video. Once again I attended Tableau's Users Conference, along with 17,000 other attendees, affectionately self-referred to as "data nerds".

What's in store for a FOPM pro at Think 2018

IBM Big Data Hub

Almost any kind of finance and operational performance management (FOPM) professional, from VPs of finance to analysts and others, can learn a lot at Think 2018

Reflections on the 2018 state of information management

IBM Big Data Hub

“Content management” — at least as traditionally defined — is no longer the straw that stirs the process drink. It’s a key element, yes. It’s an important set of tools in the enterprise toolkit, yes. But it is not the only game in process town

Microsoft Build 2018

Perficient Data & Analytics

This week Microsoft held its popular Build conference in Seattle. Microsoft has a lot of different conferences throughout the year, but Build, as the name suggests, is focused on developers, current and future directions of Microsoft development platform and Microsoft cloud technologies. I was lucky enough to attend the conference in person and learn quite a few new things about Microsoft development story and how it will help us and our customers achieve their business goals better and faster.

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Five Strategies for Slaying the Data Puking Dragon.

Occam's Razor

If you bring sharp focus, you increase chances of attention being diverted to the right places. That in turn will drive smarter questions, which will elicit thoughtful answers from available data. The result will be data-influenced actions that result in a long-term strategic advantage. It all starts with sharp focus. Consider these three scenarios…. Your boss is waiting for you to present results on quarterly marketing performance, and you have 75 dense slides.

Why it’s hard to design fair machine learning models

O'Reilly on Data

The O’Reilly Data Show Podcast: Sharad Goel and Sam Corbett-Davies on the limitations of popular mathematical formalizations of fairness. In this episode of the Data Show , I spoke with Sharad Goel , assistant professor at Stanford, and his student Sam Corbett-Davies. They recently wrote a survey paper, “A Critical Review of Fair Machine Learning,” where they carefully examined the standard statistical tools used to check for fairness in machine learning models.

Look Back on Analytics and BI in 2018

Cindi Howson

But I always like to reflect back on 2018 as the year comes to a close. Our work on data for good remains at the top of my 2018 list. If you missed those conferences, you can read the keynote highlights in this note, From Digital Transformation to ContinuousNext: Key Insights From the 2018 Gartner Symposium/ITxpo Keynote. How are you doing with all that merry making and holiday baking?

Handling real-time data operations in the enterprise

O'Reilly on Data

Getting DataOps right is crucial to your late-stage big data projects. At Strata 2017 , I premiered a new diagram to help teams understand why teams fail and when: Early on in projects, management and developers are responsible for the success of a project. As the project matures, the operations team is jointly responsible for the success. I've taught in situations where the operations team members complain that no one wants to do the operational side of things. They're right.

Business Goals for 2019: Looking back over 2018 and forward

Jen Stirrup

How was 2018 for you? Current Status for 2018: I have partners who help me to deliver effectively. Current Status for 2018: 50% repeat customers with 50% new customers generated by word–of-mouth from previous customers. Current Status for 2018: I started more business networking last year but it tailed off in February. Current Status for 2018: I got involved with DataKind. December is a great time for setting personal and business goals for next year.

Machine learning on encrypted data

O'Reilly on Data

The O’Reilly Data Show Podcast: Alon Kaufman on the interplay between machine learning, encryption, and security. In this episode of the Data Show , I spoke with Alon Kaufman , CEO and co-founder of Duality Technologies , a startup building tools that will allow companies to apply analytics and machine learning to encrypted data.

Data Monetization Workshop 2018: Key Themes & Takeaways

Juice Analytics

These were the words that kicked off the 2018 Data Monetization Workshop to a roomful of attendees and industry experts who had gathered to discuss the question that followed this observation: what does Data Monetization actually mean ? “Data Monetization is a hot topic because it has two words that everyone loves. We all love data, and who doesn’t want to monetize something?”